- Operating System: Debian GNU/Linux 12 (bookworm)
- Kernel: Linux 6.1.64-09049-g010fe86d9eae
- Architecture: x86-64
- Podman: v1.7.1
1. Install Podman:
sudo apt install podman
<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Fullscreen Image Viewer</title> | |
<style> | |
body { | |
font-family: Arial, sans-serif; | |
} |
// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks. | |
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/) | |
(() => { | |
const SHOW_SIDES = false; // color sides of DOM nodes? | |
const COLOR_SURFACE = true; // color tops of DOM nodes? | |
const COLOR_RANDOM = false; // randomise color? | |
const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com) | |
const MAX_ROTATION = 180; // set to 360 to rotate all the way round | |
const THICKNESS = 20; // thickness of layers | |
const DISTANCE = 10000; // ¯\\_(ツ)_/¯ |
{ | |
inputs = { | |
nixpkgs.url = "github:nixos/nixpkgs/nixpkgs-unstable"; | |
flake-utils.url = "github:numtide/flake-utils"; | |
}; | |
outputs = inputs @ { | |
self, | |
nixpkgs, | |
flake-utils, | |
... |
# Derived from this: https://github.com/gashton/bambustudio_tools/blob/master/bambudiscovery.sh | |
# Python implementation without need for linux | |
# Send the IP address of your BambuLab printer to port 2021/udp, which BambuStudio is listens on. | |
# Ensure your PC has firewall pot 2021/udp open. This is required as the proper response would usually go to the ephemeral source port that the M-SEARCH ssdp:discover message. | |
# But we are are blindly sending a response directly to the BambuStudio listening service port (2021/udp). | |
# Temporary solution to BambuStudio not allowing you to manually specify the Printer IP. | |
# Usage: |
I have no experience creating opkg packages for OpenWRT, so manual installation it is!
It's not compressed as of writing this, but it's much easier to install, and now supports our architecture
// ==UserScript== | |
// @name Show in stock on KSP | |
// @namespace http://tampermonkey.net/ | |
// @version 0.1 | |
// @description try to take over the world! | |
// @author You | |
// @match https://ksp.co.il/web/cat/* | |
// @icon https://www.google.com/s2/favicons?sz=64&domain=co.il | |
// @grant GM.xmlHttpRequest | |
// @connect ksp.co.il |
# STEP 1: Load | |
# Load documents using LangChain's DocumentLoaders | |
# This is from https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/csv.html | |
from langchain.document_loaders.csv_loader import CSVLoader | |
loader = CSVLoader(file_path='./example_data/mlb_teams_2012.csv') | |
data = loader.load() | |
For fun, I had ChatGPT take the free response section of the 2022 AP Computer Science A exam. (The exam also has a multiple-choice section, but the College Board doesn't publish this.) It scored 32/36.